The Impact of Big Data on the Teaching Development of University Teachers in the Mobile Internet Era

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Huizhong Zhang, Fanrong Meng, Gui Wang


With the continuous development and progress of network and information technology, Internet + has gradually penetrated into various fields. Internet + is to apply Internet technology to various traditional industries, organically combine traditional industries with information technology, and develop traditional industries. In order to objectively and accurately evaluate the teaching quality of college teachers, a teaching quality evaluation method based on sawfcm algorithm is proposed. This method takes the influencing factors related to teaching quality as samples in the feature space. Each run re classifies each state and updates the weight of each sample based on the current data, but it is highly dependent on the randomly selected initial clustering center and the randomly generated initial membership matrix. Taking our university as an example, the experimental analysis is carried out to verify the feasibility of the model.

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